* PaddlePaddle frontend - Core Part Basic functionality, only limited number of supported operations Rest of operations will be submitted in separate PR * Remove copy-paste for 'protobuf-generate' * Remove copy-paste for 'protobuf-generate' * Disable all installs for static protobuf * Fixed error in protobuf generator script * Disable compilation warnings for generated Protobuf code * Cmake - move PDPD frontend to the bottom Add install rules for PDPD and Frontend_manager * Separate working directory for static protobuf * Use system 'protoc' code generator in case of cross-compiling mode * Pass SYSTEM_PROTOC to static protobuf subproject Needed for cross compiling * Enable back commented out PDPD unit tests * Fix TODOs * Fix some comments * Update according to new gtest * Removed NGRAPH_EXPORT_TARGETS_ENABLE for PDPD frontend |
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.github | ||
cmake | ||
docs | ||
inference-engine | ||
licensing | ||
model-optimizer | ||
ngraph | ||
openvino | ||
scripts | ||
tests | ||
thirdparty | ||
tools | ||
.gitattributes | ||
.gitignore | ||
.gitmodules | ||
CMakeLists.txt | ||
CODEOWNERS | ||
install_build_dependencies.sh | ||
Jenkinsfile | ||
LICENSE | ||
README.md | ||
SECURITY.md |
OpenVINO™ Toolkit
This toolkit allows developers to deploy pre-trained deep learning models through a high-level C++ Inference Engine API integrated with application logic.
This open source version includes several components: namely Model Optimizer, nGraph and Inference Engine, as well as CPU, GPU, MYRIAD, multi device and heterogeneous plugins to accelerate deep learning inferencing on Intel® CPUs and Intel® Processor Graphics. It supports pre-trained models from the Open Model Zoo, along with 100+ open source and public models in popular formats such as Caffe*, TensorFlow*, MXNet* and ONNX*.
Repository components:
License
Deep Learning Deployment Toolkit is licensed under Apache License Version 2.0. By contributing to the project, you agree to the license and copyright terms therein and release your contribution under these terms.
Resources:
- Docs: https://docs.openvinotoolkit.org/
- Wiki: https://github.com/openvinotoolkit/openvino/wiki
- Issue tracking: https://github.com/openvinotoolkit/openvino/issues
- Storage: https://storage.openvinotoolkit.org/
- Additional OpenVINO™ modules: https://github.com/openvinotoolkit/openvino_contrib
- Intel® Distribution of OpenVINO™ toolkit Product Page
- Intel® Distribution of OpenVINO™ toolkit Release Notes
Support
Please report questions, issues and suggestions using:
- The
openvino
tag on StackOverflow* - GitHub* Issues
- Forum
* Other names and brands may be claimed as the property of others.